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Returns analytics

See which products keep coming backThe product data explains why.

Every return is lost margin and a disappointed customer. WISEPIM shows return rate and refunded revenue by product, then reveals how missing sizes, thin descriptions and weak images push returns up, so you fix the cause, not just the symptom.

  • Per-SKUReturn rate tracked
  • A–FQuality-band correlation

Why it matters

Returns start in your product data

Shoppers return what doesn't match their expectations. A vague description, a missing size chart or a single low-resolution image is enough to turn a sale into a refund, and most stores only see returns after the money is gone.

WISEPIM tracks return rate and refunded revenue for every product, then correlates it with your AI content-quality grade. The pattern is hard to miss: products in the lowest quality bands return far more often than well-described ones.

That turns returns from a cost you absorb into a problem you can fix. Find the high-return, low-quality products, enrich them in one click, and watch both your refund line and your customer satisfaction improve.

How it works

How to trace a return

From scattered refund data to a prioritised fix list in four steps.

  1. Connect your orders

    Sync Shopify, WooCommerce, Magento, Lightspeed and more. Orders, returns and refunds flow in automatically.

  2. See return rate by product

    Rank every product by return rate and refunded revenue, so the biggest offenders surface first.

  3. Read the quality correlation

    Compare returns across A–F content-quality bands and reasons, and confirm where weak data is driving refunds.

  4. Fix the root cause

    Enrich descriptions, add sizing and attributes, or improve images in one click, then track the return rate down.

What you'll learn

Questions this report answers

Understand why customers return, and stop it before it happens.

  • Which products have the highest return rate and refunded revenue?
  • How much revenue am I losing to returns each period?
  • Do poorly described products really get returned more often?
  • Which return reasons are most common, and for which items?
  • Which high-return products are cheapest to fix with better data?
  • Is my return rate trending up or down over time?

The payoff

Fewer returns, more kept revenue

Cutting return rate is one of the fastest ways to protect margin you've already earned.

  • Return rate

    Fix the missing content that causes returns instead of repeatedly eating the refund.

  • Hard-won revenue

    Every avoided return is margin you keep and a customer who stays happy.

  • The right products

    Spend effort on the high-return, low-quality items where fixes pay back fastest.

FAQs

Questions about Returns & refunds

What teams usually want to know before switching this report on.

Still have questions?

Can't find the answer you're looking for? Please get in touch with our team.

Contact Support

WISEPIM uses returns and refunds from your connected stores to calculate return rate and refunded revenue per product, category and quality band. It supports both line-item returns and order-level refunds.

Missing sizes, vague descriptions and poor images make shoppers guess, and guesses lead to returns. By grading every product and correlating it with returns, WISEPIM shows where better content would prevent refunds.

Where your platform captures return reasons, WISEPIM breaks them down by product and category so you can separate data-fixable returns from sizing, damage or change-of-mind.

Select high-return products and trigger an AI enrichment workflow, rewrite descriptions, fill missing attributes, or run web research for specs, without leaving WISEPIM.

Yes. Returns analytics needs connected order and refund data. Once a store is linked, returns populate automatically and stay current with every sync.

See the real cost of returnsPer product.

Connect a store and the returns report pairs return rate and refunded revenue with each product's content grade.